175 computer-science-intern-"https:" "https:" "https:" "UCL" "UCL" PhD positions in United States
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., M.D., D.V.M.). The applicant should have a Ph.D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related field. Expertise in analyzing intracranial
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comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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outstanding benefits, that support your training and success at Iowa. https://grad.uiowa.edu/postdoctoral-affairs/postdoc-resources Education Requirement: PhD degree in a biomedical related science Required
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work as part of our UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu . Department Summary The Department of Information Science at the University of North
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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degree in Computer Science, Bioinformatics or Computational Biology or a relevant scientific discipline. The role demands extensive experience in processing and analyzing next-generation sequencing data